Proceedings of the Association for Library and Information Science Education Annual Conference: ALISE 2018
Bibliographic record
Abstract
Welcome to our second ALISE Virtual Conference!While we wish we could be joining together in person this year for the conference, meeting virtually seems an appropriate way to engage in this year's conference theme: "Crafting a Resilient Future: Leadership, Education, & Inspiration."Meeting virtually for our 2021 annual conference is itself an act of resilience!The worldwide COVID-19 pandemic and the other global economic, social, and environmental crises that have occurred over the last 18-months have forced us to grapple with unimaginable challenges in our personal and professional lives.We have had to reenvision almost every aspect of how we live and work.During these unprecedented times, one of the terms we have heard repeatedly is "resilience."Resilience is fundamentally the capacity to recover quickly from struggles or hardships.This year's conference theme addresses how library and information science education has already changed --and needs to continue changing --to ensure relevancy, viability, and sustainability.The conference explores how LIS education can take a proactive role in thinking about and defining the future we want to have.While the concept of resilience can be used at an individual level as a way to encourage (or guilt) people to do more with less, this conference is focusing on the concept of resilience at a more systemic level, with a focus on recuperation and leadership in changing times and contexts.Our keynote panel brings together three outstanding speakers who will deliver "TED Talk"-esque talks to address the three areas of resilience noted
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".